
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "94"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 100 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 96 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.311620	-0.986331	-0.749366	-0.007973	-0.952022	2.617764	-0.200071	0.213043	0.7376	0.7649	0.2739	15.705508	15.467627
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.726678	-1.561179	-0.379720	0.345430	-0.517287	2.743969	-0.180415	-0.370161	0.6717	0.6644	0.2583	5.807962	5.369682
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.666801	-0.789114	0.041061	-0.939077	-0.517787	6.430635	-1.718050	0.151892	0.0282	0.0452	0.0024	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.357148	-1.427610	-0.686874	-0.254793	-0.147658	3.318249	1.784321	0.840153	0.6039	0.6119	0.3603	5.398611	5.904253
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.178671	-1.766197	-1.186038	0.388869	-0.136210	3.041825	1.168565	1.455185	0.6135	0.6202	0.3553	6.394498	5.864225
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.966236	-1.840856	-1.161250	0.140270	-1.035842	2.645082	-0.204889	0.106303	0.6494	0.6462	0.2923	6.941765	6.596261
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.379066	-1.153437	-0.555456	0.091887	1.193506	3.421033	0.326601	0.533208	0.7049	0.6895	0.2391	6.572958	6.321781
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-1.271690	-1.322128	-0.307254	-0.126489	-0.564739	0.015542	2.359870	2.063235	nan	nan	nan	4.340854	5.280501
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.271821	-1.107852	-0.936904	-0.101884	-0.460518	0.613006	1.541903	0.383015	0.6126	0.6190	0.3409	4.271934	4.061389
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.008856	-0.040101	0.017992	-0.012864	-0.572410	1.300756	1.546477	5.691845	0.0309	0.0475	0.0024	0.000000	0.000000
2459584	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.810020	-0.639516	-0.185026	-0.723526	-1.632899	-1.505121	1.109310	0.787277	0.5580	0.5656	0.3496	3.955778	3.959180
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.815819	0.384110	-0.270207	-0.431770	1.014496	1.644025	2.575268	3.532984	0.6090	0.6166	0.3659	6.043970	5.286428
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.963950	-0.343316	-0.169576	-0.070733	0.861054	3.101353	1.051621	1.540151	0.6168	0.6222	0.3703	4.348669	4.017034
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.617614	-0.167768	0.405675	-0.714931	0.425831	3.063992	1.647156	1.796875	0.6097	0.6159	0.3796	4.214253	3.961128
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.765412	-0.306397	-0.084411	-0.439513	2.460701	2.274053	3.067004	3.253237	0.6216	0.6286	0.3686	5.448958	5.250498
2459579	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.578905	0.077695	-0.222252	-0.121642	-0.126625	3.637575	1.583863	2.519736	0.6163	0.6221	0.3706	7.485971	5.899754
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.865145	-0.862397	-0.090456	-0.404740	0.309840	3.631057	2.941263	4.650101	0.6124	0.6200	0.3752	4.698977	4.519099
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.054710	-1.367103	0.109360	0.053969	-0.296761	3.783687	1.052927	1.049031	0.6458	0.6543	0.3749	6.785970	5.624393
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.704109	-1.631594	-0.520658	-0.172244	-0.665581	0.601931	-0.525435	-0.089142	0.7125	0.7149	0.3262	9.067966	8.495801
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.051265	-0.410887	-0.396689	-0.138287	0.055101	3.036819	1.338275	0.874736	0.6384	0.6454	0.3681	4.498121	4.069755
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.600609	-1.455675	-0.730218	-0.310015	-0.864101	2.531548	0.178980	0.844468	0.6365	0.6444	0.3752	6.250736	5.193868
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.208791	-0.090235	-0.735085	-0.641509	-0.120324	26.857571	1.841778	9.002410	0.0281	0.0431	0.0026	nan	nan
2459570	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.785564	6.655182	8.682337	8.596432	5.912094	5.815419	4.567693	5.236404	0.6223	0.6473	0.3672	0.000000	0.000000
2459569	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.151831	-1.402279	-0.240937	-0.124696	-0.564826	0.823546	-0.164082	0.159097	0.7191	0.7264	0.2419	5.453747	4.993595
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.561588	-1.438589	-0.267167	-0.070684	-0.673138	4.251571	1.464206	2.414301	0.6353	0.6412	0.3813	5.323143	4.655303
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-1.423322	-1.423322	-1.357009	-1.357009	-0.584162	-0.584162	-0.612392	-0.612392	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.004816	-0.165580	0.292755	0.342288	-0.333566	-0.115965	2.451736	3.137262	0.6401	0.6411	0.3858	4.031895	3.324514
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.949108	6.315827	20.571699	23.236279	11.171760	14.475359	-0.974509	-1.433159	0.6314	0.6260	0.3705	5.174233	4.199928
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.543397	-0.238266	-0.129410	0.210736	-0.290128	0.056895	0.497632	0.709144	0.6482	0.6579	0.3759	3.855793	3.486333
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.397688	-0.335442	0.127683	0.132392	-0.256350	0.576284	0.665082	1.329363	0.6422	0.6440	0.3808	3.995862	3.458971
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.294691	-0.192501	0.156156	0.209586	-0.388100	0.036275	1.315309	2.119075	0.6441	0.6491	0.3712	3.566458	3.172371
2459558	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.543337	-0.823060	-0.735866	0.141419	-0.498411	1.606169	0.519361	1.091076	0.6487	0.6508	0.3776	4.365485	4.117038
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0269	0.0454	0.0016	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.084898	-0.927574	-0.462200	0.203105	-0.802622	3.400901	0.367872	2.086226	0.6416	0.6463	0.3784	4.330011	3.801475
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6493	0.6510	0.3883	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6479	0.6533	0.3893	nan	nan
2459552	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.893974	-1.396432	-0.351987	-0.028463	-1.113564	3.506031	0.362465	1.267853	0.6509	0.6561	0.3862	10.329252	9.139541
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459550	RF_maintenance	-	98.35%	98.35%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0429	0.0457	0.0002	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.724814	-1.102067	-0.221995	0.198393	0.283649	3.123946	2.109425	2.580650	0.6429	0.6521	0.3937	3.670608	3.557889
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.313134	-0.963170	0.759613	1.367672	-0.233562	-0.000106	3.437742	2.271642	0.7114	0.7135	0.3549	4.183870	3.908671
2459541	RF_maintenance	0.00%	1.34%	1.34%	0.00%	100.00%	0.00%	-0.853972	-1.265179	-0.430335	0.806400	-0.684945	2.044308	1.647535	1.778655	0.7053	0.7064	0.3314	4.031725	3.860650
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.536558	-0.533740	-0.195082	0.121992	1.756450	2.055307	1.107072	0.967239	0.7095	0.7045	0.3424	3.664852	3.411003
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.268888	-0.509721	1.092937	0.880296	0.451327	4.081057	7.301742	4.083043	0.0723	0.0852	0.0113	0.000000	0.000000
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	190.904134	47.172677	67.845724	38.657670	48.177230	35.437932	464.749142	342.834038	0.0165	0.0164	0.0009	0.763206	0.781663
2459534	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.448525	-0.914236	-0.090828	-0.093004	2.494744	1.521816	0.508039	0.072581	0.0865	0.0917	0.0129	0.000000	0.000000
2459533	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.078891	-1.401509	-0.725429	-0.413735	1.283986	2.848501	0.453845	1.381604	0.0795	0.0928	0.0126	4.425453	6.511177
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.934073	-0.503110	-0.484541	0.316689	0.235729	4.397077	0.752314	0.332266	0.0748	0.0857	0.0109	7.060594	9.406187
2459530	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.461262	-0.158972	0.083897	0.120013	-0.031411	1.232943	1.684558	0.640473	0.0827	0.1004	0.0136	15.895992	19.560432
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.281487	-1.502663	-0.569039	-0.793334	-0.474534	6.733398	-0.175803	1.686422	0.9061	0.9341	0.3157	0.000000	0.000000
2459523	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.502214	-1.176443	0.470742	0.283205	0.885008	1.083575	0.175189	-0.011149	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.982216	-0.024667	-0.006444	0.165184	-0.402235	19.908523	1.149247	1.782891	0.6075	0.6739	0.4012	-0.000000	-0.000000
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.123070	-0.153412	-0.424508	-0.897334	0.032224	27.785313	3.669892	12.830132	0.0309	0.0647	0.0032	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.051890	-1.285625	-1.037578	-0.386473	0.711628	1.788345	-0.250608	0.341715	0.9002	0.9468	0.2004	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.691038	-0.945829	0.296403	1.047018	0.306177	8.445857	4.624273	6.210411	0.8823	0.8559	0.2046	11.406741	12.896381
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.687268	-1.451104	0.076686	0.266751	-0.009727	2.068355	3.902475	7.637983	0.8595	0.8499	0.4616	0.000000	0.000000
2459501	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.098254	-1.267882	-0.969412	-0.740873	1.088306	0.987200	1.365029	0.860681	0.8624	0.8968	0.3907	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.004848	-1.340947	-1.213087	-1.299429	-0.182079	-0.100320	2.121775	5.812516	0.8685	0.8895	0.3820	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.205367	-1.293524	-1.320959	-1.196062	-0.063727	0.575135	1.582524	8.725396	0.8931	0.9362	0.1813	0.000000	0.000000
2459498	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.424110	-1.260217	-1.119212	-0.905752	0.034331	-0.080436	0.753396	2.732238	0.8792	0.8917	0.4214	0.000000	0.000000
2459497	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.845927	-0.673892	-1.087794	-0.941730	0.129287	1.483903	1.235160	3.239691	0.8902	0.9236	0.3421	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.011191	-1.065702	-0.698269	-0.574562	0.819894	1.316070	3.699930	4.673314	0.8972	0.8994	0.3977	0.000000	0.000000
2459495	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.107866	-1.543892	-0.754438	-0.805502	0.800244	1.244699	2.186560	3.095860	0.8931	0.8934	0.4339	0.000000	0.000000
2459494	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.420526	-1.250293	-0.651255	-1.080806	0.437839	0.819108	2.525976	1.317472	0.8848	0.8869	0.4422	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.141808	-0.687168	-0.891818	-0.431291	1.533850	5.176242	2.830564	6.579510	0.7551	0.8062	0.3319	16.971284	8.534596
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.024201	0.389523	-0.318167	0.264098	2.735425	6.609872	2.366275	1.837342	0.7919	0.8183	0.2711	3.952446	3.324824
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.263387	-1.387519	-0.476529	-0.936234	1.104463	4.400863	3.620029	5.107495	0.7429	0.8006	0.3836	4.408381	4.259063
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.218246	0.232930	-0.504301	-0.281105	1.526877	5.489646	4.790499	4.680839	0.7607	0.8046	0.3276	3.831134	3.707888
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.536507	-1.595003	-0.490579	-0.705245	0.930561	6.984662	6.315040	13.474607	0.7612	0.8082	0.3596	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 94 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 94, Node 10:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 94: 2459624

Antenna 94: 2459623

Antenna 94: 2459622

Antenna 94: 2459621

Antenna 94: 2459620

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Antenna 94: 2459615

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Antenna 94: 2459609

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Antenna 94: 2459536

Antenna 94: 2459535

Antenna 94: 2459534

Antenna 94: 2459533

Antenna 94: 2459532

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶